Preadolescence is an important period for the consolidation of certain arithmetic facts, and the development of problem-solving strategies. Obese subjects seem to have poorer academic performance in math than their normal-weight peers, suggesting a negative effect of obesity on math skills in critical developmental periods. To test this hypothesis, event-related potentials were collected during a delayed-verification math task using simple addition and subtraction problems in obese [above 95th body mass index percentile] and non-obese preteens with different levels of math skill; (...) thirty-one with low math skills and thirty-one with high math skills. No significant differences between weight groups were observed in task accuracy regardless of their mathematical skill level. For ERPs, electrophysiological differences were found only in the subtraction condition; participants with obesity showed an electrophysiologic pattern associated with a reduced ability to allocate attention resources regardless of their math skill level, these differences were characterized by longer P300 latency than their normal-weight peers. Moreover, the participants with obesity with high math skills displayed hypoactivity in left superior parietal lobule compared with their normal-weight peers. Additionally, obese preteens with low math skills displayed smaller arithmetic N400 amplitude than non-obese participants, reflecting difficulties in retrieving visual, semantic, and lexical information about numbers. We conclude that participants with obesity are less able than their normal-weight peers to deploy their attention regardless of their behavioral performance, which seems to have a greater effect on obese participants with low math skills because they also show problems in the retrieval of solutions from working memory, resulting in a delay in the development of mathematical skills. (shrink)

Plato's views on the nature of the soul, by W.K.C. Guthrie.--Die Erneuerung der Philosophie in der Zeit Ciceros, von O. Gigon.--Gott und Seele im kaiserzeitlichen Denken, von W. Theiler.--Interprétations néo-platonisantes du livre VI de l'Énéide, par P. Courcelle.--Der Platonismus und die altchristliche Gedankenwelt, von J.H. Waszink.--Humanisme et christianisme chez Clément d'Alexandrie d'après le "Pédagogue," par H.I. Marrou.--Some aspects of Platonism in Islamic philosophy, by R. Walzer.

Stanford Encyclopedia article surveying the life and work of D.C. Williams, notably in defending realism in metaphysics in the mid-twentieth century and in justifying induction by the logic of statistical inference.

The Lyotard Reader and Guide is a one-stop companion to Lyotard's thought. It covers the full range of his works, from his three main books ( Discours, figure; Libidinal Economy; and The Differend) and up to his influential essays in The Inhuman and Postmodern Fables. -/- The readings are organized into sections on philosophy, politics, art, and literature. Several have never before been translated into English. Detailed introductions to each section by two leading Lyotard scholars explain the philosopher's key ideas (...) and provide crucial social, political, aesthetic, and philosophical context. As a sourcebook and guide, this is the most up-to-date and comprehensive volume on Lyotard. It is indispensable to students and scholars in philosophy, literature, the arts, and politics. (shrink)

The field of AI safety aims to prevent increasingly capable artificially intelligent systems from causing humans harm. Research on moral alignment is widely thought to offer a promising safety strategy: if we can equip AI systems with appropriate ethical rules, according to this line of thought, they'll be unlikely to disempower, destroy or otherwise seriously harm us. Deontological morality looks like a particularly attractive candidate for an alignment target, given its popularity, relative technical tractability and commitment to harm-avoidance principles. I (...) argue that the connection between moral alignment and safe behavior is more tenuous than many have hoped. In general, AI systems can possess either of these properties in the absence of the other, and we should favor safety when the two conflict. In particular, advanced AI systems governed by standard versions of deontology need not be especially safe. (shrink)

According to a widespread view in metaphysics and philosophy of science, all explanations involve relations of ontic dependence between the items appearing in the explanandum and the items appearing in the explanans. I argue that a family of mathematical cases, which I call “viewing-as explanations”, are incompatible with the Dependence Thesis. These cases, I claim, feature genuine explanations that aren’t supported by ontic dependence relations. Hence the thesis isn’t true in general. The first part of the paper defends this claim (...) and discusses its significance. The second part of the paper considers whether viewing-as explanations occur in the empirical sciences, focusing on the case of so-called fictional models. It’s sometimes suggested that fictional models can be explanatory even though they fail to represent actual worldly dependence relations. Whether or not such models explain, I suggest, depends on whether we think scientific explanations necessarily give information relevant to intervention and control. Finally, I argue that counterfactual approaches to explanation also have trouble accommodating viewing-as cases. (shrink)

We discuss potential biorisks from large language models (LLMs). AI assistants based on LLMs such as ChatGPT have been shown to significantly reduce barriers to entry for actors wishing to synthesize dangerous, potentially novel pathogens and chemical weapons. The harms from deploying such bioagents could be further magnified by AI-assisted misinformation. We endorse several policy responses to these dangers, including prerelease evaluations of biomedical AIs by subject-matter experts, enhanced surveillance and lab screening procedures, restrictions on AI training data, and access (...) controls on biomedical AI. We conclude with a suggestion about future research directions in bioethics. (shrink)

The problem of truth in fiction concerns how to tell whether a given proposition is true in a given fiction. Thus far, the nearly universal consensus has been that some propositions are ‘implicitly true’ in some fictions: such propositions are not expressed by any explicit statements in the relevant work, but are nevertheless held to be true in those works on the basis of some other set of criteria. I call this family of views ‘implicitism’. I argue that implicitism faces (...) serious problems, whereas the opposite view is much more plausible than has previously been thought. After mounting a limited defence of explicitism, I explore a difficult problem for the view and discuss some possible responses. (shrink)

Part I: The Life of Cognitive Science:. William Bechtel, Adele Abrahamsen, and George Graham. Part II: Areas of Study in Cognitive Science:. 1. Analogy: Dedre Gentner. 2. Animal Cognition: Herbert L. Roitblat. 3. Attention: A.H.C. Van Der Heijden. 4. Brain Mapping: Jennifer Mundale. 5. Cognitive Anthropology: Charles W. Nuckolls. 6. Cognitive and Linguistic Development: Adele Abrahamsen. 7. Conceptual Change: Nancy J. Nersessian. 8. Conceptual Organization: Douglas Medin and Sandra R. Waxman. 9. Consciousness: Owen Flanagan. 10. Decision Making: J. Frank Yates (...) and Paul A. Estin. 11. Emotions: Paul E. Griffiths. 12. Imagery and Spatial Representation: Rita E. Anderson. 13. Language Evolution and Neuromechanisms: Terrence W. Deacon. 14. Language Processing: Kathryn Bock and Susan M. Garnsey. 15. Linguistics Theory: D. Terence Langendoen. 16. Machine Learning: Paul Thagard. 17. Memory: Henry L. Roediger III and Lyn M. Goff. 18. Perception: Cees Van Leeuwen. 19. Perception: Color: Austen Clark. 20. Problem Solving: Kevin Dunbar. 21. Reasoning: Lance J. Rips. 22. Social Cognition: Alan J. Lambert and Alison L. Chasteen. 23. Unconscious Intelligence: Rhianon Allen and Arthur S. Reber. 24. Understanding Texts: Art Graesser and Pam Tipping. 25. Word Meaning: Barbara C. Malt. Part III: Methodologies of Cognitive Science:. 26. Artificial Intelligence: Ron Sun. 27. Behavioral Experimentation: Alexander Pollatsek and Keith Rayner. 28. Cognitive Ethology: Marc Bekoff. 29. Deficits and Pathologies: Christopher D. Frith. 30. Ethnomethodology: Barry Saferstein. 31. Functional Analysis: Brian Macwhinney. 32. Neuroimaging: Randy L. Buckner and Steven E. Petersen. 33. Protocal Analysis: K. Anders Ericsson. 34. Single Neuron Electrophysiology: B. E. Stein, M.T. Wallace, and T.R. Stanford. 35. Structural Analysis: Robert Frank. Part IV: Stances in Cognitive Science:. 36. Case-based Reasoning: David B. Leake. 37. Cognitive Linguistics: Michael Tomasello. 38. Connectionism, Artificial Life, and Dynamical Systems: Jeffrey L. Elman. 39. Embodied, Situated, and Distributed Cognition: Andy Clark. 40. Mediated Action: James V. Wertsch. 41. Neurobiological Modeling: P. Read Montague and Peter Dayan. 42. Production Systems: Christian D. Schunn and David Klahr. Part V: Controversies in Cognitive Science:. 43. The Binding Problem: Valerie Gray Hardcastle. 44. Heuristics and Satisficing: Robert C. Richardson. 45. Innate Knowledge: Barbara Landau. 46. Innateness and Emergentism: Elizabeth Bates, Jeffrey L. Elman, Mark H. Johnson, Annette Karmiloff-Smith, Domenico Parisi, and Kim Plunkett. 47. Intentionality: Gilbert Harman. 48. Levels of Explanation and Cognition Architectures: Robert N. McCauley. 49. Modularity: Irene Appelbaum. 50. Representation and Computation: Robert S. Stufflebeam. 51. Representations: Dorrit Billman. 52. Rules: Terence Horgan and John Tienson. 53. Stage Theories Refuted: Donald G. Mackay. Part VI: Cognitive Science in the Real World:. 54. Education: John T. Bruer. 55. Ethics: Mark L. Johnson. 56. Everyday Life Environments: Alex Kirlik. 57. Institutions and Economics: Douglass C. North. 58. Legal Reasoning: Edwina L. Rissland. 59. Mental Retardation: Norman W. Bray, Kevin D. Reilly, Lisa F. Huffman, Lisa A. Grupe, Mark F. Villa, Kathryn L. Fletcher, and Vivek Anumolu. 60. Science: William F. Brewer and Punyashloke Mishra. Selective Biographies of Major Contributors to Cognitive Science: William Bechtel and Tadeusz Zawidzki. (shrink)

Philosophers have rightly condemned lookism—that is, discrimination in favor of attractive people or against unattractive people—in education, the justice system, the workplace and elsewhere. Surprisingly, however, the almost universal preference for attractive romantic and sexual partners has rarely received serious ethical scrutiny. On its face, it’s unclear whether this is a form of discrimination we should reject or tolerate. I consider arguments for both views. On the one hand, a strong case can be made that preferring attractive partners is bad. (...) The idea is that choosing partners based on looks seems essentially similar to other objectionable forms of discrimination. (In particular, the preference for attractive partners is arguably both unfair and harmful to a significant degree.) One can try to resist this conclusion in several ways. I consider three possible replies. The first has to do with the possibility of controlling our partner preferences. The second pertains to attractiveness and “good genes”. The last attempts to link certain aspects of attractiveness to a prospective partner’s personality and values. I argue that the first two replies fail conclusively, while the third only amounts to a limited defense of a particular kind of attractiveness preference. So the idea that we should often avoid preferring attractive partners is compelling. (shrink)

Gauss’s quadratic reciprocity theorem is among the most important results in the history of number theory. It’s also among the most mysterious: since its discovery in the late 18th century, mathematicians have regarded reciprocity as a deeply surprising fact in need of explanation. Intriguingly, though, there’s little agreement on how the theorem is best explained. Two quite different kinds of proof are most often praised as explanatory: an elementary argument that gives the theorem an intuitive geometric interpretation, due to Gauss (...) and Eisenstein, and a sophisticated proof using algebraic number theory, due to Hilbert. Philosophers have yet to look carefully at such explanatory disagreements in mathematics. I do so here. According to the view I defend, there are two important explanatory virtues—depth and transparency—which different proofs (and other potential explanations) possess to different degrees. Although not mutually exclusive in principle, the packages of features associated with the two stand in some tension with one another, so that very deep explanations are rarely transparent, and vice versa. After developing the theory of depth and transparency and applying it to the case of quadratic reciprocity, I draw some morals about the nature of mathematical explanation. (shrink)

Business ethics literature regularly examines obligations of firms. This article examines the contrary and relatively under‐explored notion of obligations of stakeholders. It does so by discussing incidents of sexual misconduct arising under the umbrella of the #MeToo movement. This article explores how the theory of stakeholder responsibility can aid firms in understanding and addressing complex issues associated with stakeholder irresponsibility. It examines the moral responsibilities of regime members in the context of #MeToo incidents to provide a conceptual framework for firms (...) addressing issues associated with irresponsible stakeholder actions. (shrink)

Much recent work on mathematical explanation has presupposed that the phenomenon involves explanatory proofs in an essential way. I argue that this view, ‘proof chauvinism’, is false. I then look in some detail at the explanation of the solvability of polynomial equations provided by Galois theory, which has often been thought to revolve around an explanatory proof. The article concludes with some general worries about the effects of chauvinism on the theory of mathematical explanation. 1Introduction 2Why I Am Not a (...) Proof Chauvinist 2.1Proof chauvinism and mathematical practice 2.2Proof chauvinism and philosophy 3An Example: Galois Theory and Explanatory Proof 4Conclusion. (shrink)

Philosophers of science since Nagel have been interested in the links between intertheoretic reduction and explanation, understanding and other forms of epistemic progress. Although intertheoretic reduction is widely agreed to occur in pure mathematics as well as empirical science, the relationship between reduction and explanation in the mathematical setting has rarely been investigated in a similarly serious way. This paper examines an important particular case: the reduction of arithmetic to set theory. I claim that the reduction is unexplanatory. In defense (...) of this claim, I offer evidence from mathematical practice, and I respond to contrary suggestions due to Steinhart, Maddy, Kitcher and Quine. I then show how, even if set-theoretic reductions are generally not explanatory, set theory can nevertheless serve as a legitimate foundation for mathematics. Finally, some implications of my thesis for philosophy of mathematics and philosophy of science are discussed. In particular, I suggest that some reductions in mathematics are probably explanatory, and I propose that differing standards of theory acceptance might account for the apparent lack of unexplanatory reductions in the empirical sciences. (shrink)

Mathematicians distinguish between proofs that explain their results and those that merely prove. This paper explores the nature of explanatory proofs, their role in mathematical practice, and some of the reasons why philosophers should care about them. Among the questions addressed are the following: what kinds of proofs are generally explanatory (or not)? What makes a proof explanatory? Do all mathematical explanations involve proof in an essential way? Are there really such things as explanatory proofs, and if so, how do (...) they relate to the sorts of explanation encountered in philosophy of science and metaphysics? (shrink)

Legal practice is both a profession and, increasingly, a business. Lawyers are routinely confronted with a complex set of ethical questions due to the adversarial nature of legal practice and justice, and at the same time handle relationships with different stakeholders within their own practice, including clients, partners, and managers. This presents a unique set of challenges that are not experienced in other professions. This book provides a framework to guide the practicing lawyer through these various levels of ethical complexity. (...) Written in a highly accessible style, The Lawyer's Guide to Business Ethics transforms business ethics theory for the practice of law, identifying the unique applications and ways in which lawyers can utilize the theory and principles to enhance their decision making and case management techniques. The book examines the social, ethical, personal, and economic forces influencing lawyers' work, explains the rules of professional conduct, and presents real-life ethical dilemmas to enhance learning and to assist in finding appropriate outcomes. This book will be an invaluable resource for legal practitioners, law students and business students, and anyone interested in maintaining ethical behavior in the practice of law. (shrink)

I should say at the outset that I actually like this book a lot, but I am not sure how comfortable I am with liking it. It is the sort of innovative, exciting, exasperating, infuriating, and provocative book that's good even when it's bad, because it sets everyone to talking and arguing about all kinds of things. Initially, I will give a brief gloss of the main points of the book and of its virtues. Then I would like to single (...) out two issues for brief discussion: Fuller 's conception of rhetoric and in what sense he is still a philosopher, in both his case studies and curriculum, despite advertising to the contrary. (shrink)

The move to Postmodernism in argumentation is often predicated on the rejection of the formal basis of argument in logic. While this rejection may be justified, and is widely discussed in the literature, the loss of logic creates problems that a Postmodern theory of argument must address without recourse to logic and its attendant modernist assumptions. This essay argues that conceiving of argument in terms ofpractices will address the key problematics of Postmodernism without abandoning those features of argumentation that make (...) it an important social, cultural and political practice. Implications for both theory and pedagogy are discussed. (shrink)

One way of understanding how to intervene in dysfunctional public discourse is to attend to the ways that we teach argument. This article contends that argument pedagogy would benefit from consideration of the process of argumentation, in which participants are prepared to enter into deliberation by attending to relationality. To ground their discussion, the authors present rhetorical praxis taught in two university sites and one public site.

Recent progress in artificial intelligence (AI) has drawn attention to the technology’s transformative potential, including what some see as its prospects for causing large-scale harm. We review two influential arguments purporting to show how AI could pose catastrophic risks. The first argument — the Problem of Power-Seeking — claims that, under certain assumptions, advanced AI systems are likely to engage in dangerous power-seeking behavior in pursuit of their goals. We review reasons for thinking that AI systems might seek power, that (...) they might obtain it, that this could lead to catastrophe, and that we might build and deploy such systems anyway. The second argument claims that the development of human-level AI will unlock rapid further progress, culminating in AI systems far more capable than any human — this is the Singularity Hypothesis. Power-seeking behavior on the part of such systems might be particularly dangerous. We discuss a variety of objections to both arguments and conclude by assessing the state of the debate. (shrink)

This essay draws on Ludwig Wittgenstein’s work to argue for a practice-oriented concept of expertise. We propose that conceptualizing types of expertise as having a family resemblance, relative to the problems such expertise addresses, escapes certain limitations of defining expertise as primarily epistemic. Recognizing the pragmatic purchase on actual problems a Wittgensteinian approach provides to discussions of expertise, we seek to understand the nature of expertise in situations where the people who need to make a difficult decision do not possess (...) or have access to the epistemic status that traditionally confers expertise. These are situations where people need to answer difficult questions that, while they may be informed by expertise in the epistemic register, are ultimately decided by expertise that weighs certified knowledge against the intractable characteristics of a particular situation. We suggest that there is not—even deep down on a conceptual level—only one kind of expertise, but multiple kinds of expertise that resonate with diverse kinds of problems. (shrink)

A proof P of a theorem T is transferable when a typical expert can become convinced of T solely on the basis of their prior knowledge and the information contained in P. Easwaran has argued that transferability is a constraint on acceptable proof. Meanwhile, a proof P is fixable when it’s possible for other experts to correct any mistakes P contains without having to develop significant new mathematics. Habgood-Coote and Tanswell have observed that some acceptable proofs are both fixable and (...) in need of fixing, in the sense that they contain nontrivial mistakes. The claim that acceptable proofs must be transferable seems quite plausible. The claim that some acceptable proofs need fixing seems plausible too. Unfortunately, these attractive suggestions stand in tension with one another. I argue that the transferability requirement is the problem. Acceptable proofs need only satisfy a weaker requirement I call “corrigibility”. I explain why, despite appearances, the corrigibility standard is preferable to stricter alternatives. (shrink)

This is a teaching and learning guide to accompany "Explanation in Mathematics: Proofs and Practice".

Theoretical Perspective on Smell is the first collection of scholarly articles to be devoted exclusively to philosophical research on olfaction. The essays, published here for the first time, bring together leading theorists working on smell in a format that allows for deep engagement with the emerging field, while also providing those new to the philosophy of smell with a resource to begin their journey. The volume’s 14 chapters are organized into four parts: -/- I. The Importance and Beauty of Smell (...) II. Smell in Time and Space III. What We Perceive through Smell IV. Smell and Other Senses -/- The collection solidifies the area as an important emerging branch of perceptual philosophy by presenting the cutting edge research being done by innovative early career researchers, as well as by those more senior and established within the field. -/- Table of Contents 1. Introduction Andreas Keller and Benjamin Young -/- Part I: The Importance and Beauty of Smell -/- 2. The Role of Smell in Consciousness Barry C. Smith -/- 3. The metacognitive gap: Why we both trust and mistrust our sense of smell Ophelia Deroy -/- 4. Perfumes and the Aesthetic Appreciation of Nature Chiara Brozzo -/- 5. Aesthetics, Olfaction, & Environment Michael Aaron Lindquist -/- Part II: Smell in Time and Space -/- 6. Smell and the Space Between Us Clare Batty -/- 7. The Temporal Structure of Olfactory Experience Keith A. Wilson -/- Part III: What We Perceive through Smell -/- 8. How Biology Perceives Chemistry: A Causal Analysis of the Stimulus in Olfaction and its Implications for Scientific and Philosophical Theorizing Ann-Sophie Barwich -/- 9. The Accuracy Conditions of Olfactory Perception Andreas Keller -/- 10. Maybe We Don't Smell Molecular Structure Benjamin D. Young -/- 11. Stuff & Nonsense: Against Mizrahi on Olfaction Harry Sherwood -/- 12. The Layering of Smell William G. Lycan -/- Part IV: Smell and the Other Senses -/- 13. From Odors to Flavors: Perceptual organization in the chemical senses Becky Millar -/- 14. Seeing and hearing flavors Błażej Skrzypulec -/- 15. Smelling Gustatory Qualities Louise Richardson. (shrink)

Models are indispensable tools of scientific inquiry, and one of their main uses is to improve our understanding of the phenomena they represent. How do models accomplish this? And what does this tell us about the nature of understanding? While much recent work has aimed at answering these questions, philosophers' focus has been squarely on models in empirical science. I aim to show that pure mathematics also deserves a seat at the table. I begin by presenting two cases: Cramér’s random (...) model of the prime numbers and the function field model of the integers. These cases show that mathematicians, like empirical scientists, rely on unrealistic models to gain understanding of complex phenomena. They also have important implications for some much-discussed theses about scientific understanding. First, modeling practices in mathematics confirm that one can gain understanding without obtaining an explanation. Second, these cases undermine the popular thesis that unrealistic models confer understanding by imparting counterfactual knowledge. (shrink)

Examines the nature of rhetorical theory and criticism, the rhetoric of science, and the impact of poststructuralism and postmodernism on contemporary accounts of rhetoric.

Rhetorical scholars have become increasingly interested in the persuasive tactics and strategies that arise out of the communication that occurs in the course of doing science. Philosophically, two primary ways of approaching this intrinsic rhetoric of science, and the practice of science itself, have emerged. One is to look at the Community and practice of science as relatively stable, a progressive vision of scientists gradually making discoveries and weeding out error, passing along their knowledge and techniques to students. But a (...) second approach, made popular by Thomas Kuhn and his followers, holds that periods of stability are temporary and fragile and the history of science is less like steady progress than like a series of revolutions (twists and turns), where old facts, and the theories that permit them, are simply replaced by new ones, and students are trained to ignore the old structures or consider them 'wrong'. (shrink)

A review of Matt Cook's book Sleight of Mind: 75 Ingenious Paradoxes in Mathematics, Physics, and Philosophy.

This article addresses the problem of expertise in a democratic political system: the tension between the authority of expertise and the democratic values that guide political life. We argue that for certain problems, expertise needs to be understood as a dialogical process, and we conceptualize an understanding of expertise through and as argument that positions expertise as constituted by and a function of democratic values and practices, rather than in the possession of, acquisition of, or relationship to epistemic materials. Conceptualizing (...) expertise through argument leads us to see expertise as a kind of phronetic practice, oriented toward judgments and problems, characterized by its ability to provide inventional capacities for selecting the best possible resolution of a particular problem vis-à-vis particular expectations regarding the resolution of a problem. At its core, expertise thus comes to exist in reference not to epistemic but to dialogical, deliberative, democratic practice. (shrink)

Coral bleaching has impacted reefs worldwide and the predictions of near‐annual bleaching from over two decades ago have now been realized. While technology currently provides the means to predict large‐scale bleaching, predicting reef‐scale and within‐reef patterns in real‐time for all reef users is limited. In 2020, heat stress across the Great Barrier Reef underpinned the region's third bleaching event in 5 years. Here we review the heterogeneous emergence of bleaching across Heron Island reef habitats and discuss the oceanographic drivers that (...) underpinned variable bleaching emergence. We do so as a case study to highlight how reef end‐user groups who engage with coral reefs in different ways require targeted guidance for how, and when, to alter their use of coral reefs in response to bleaching events. Our case study of coral bleaching emergence demonstrates how within‐reef scale nowcasting of coral bleaching could aid the development of accessible and equitable bleaching response strategies on coral reefs. Also see the video abstract here: https://youtu.be/N9Tgb8N-vN0. (shrink)

In a recent letter, Dillion et. al (2023) make various suggestions regarding the idea of artificially intelligent systems, such as large language models, replacing human subjects in empirical moral psychology. We argue that human subjects are in various ways indispensable.

Most bioethicists and professional medical societies condemn the practice of ?slow codes.? The American College of Physicians ethics manual states, ?Because it is deceptive, physicians or nurses should not perform half-hearted resuscitation efforts (?slow codes?).? A leading textbook calls slow codes ?dishonest, crass dissimulation, and unethical.? A medical sociologist describes them as ?deplorable, dishonest and inconsistent with established ethical principles.? Nevertheless, we believe that slow codes may be appropriate and ethically defensible in situations in which cardiopulmonary resuscitation (CPR) is likely (...) to be ineffective, the family decision makers understand and accept that death is inevitable, and those family members cannot bring themselves to consent or even assent to a do-not-resuscitate (DNR) order. In such cases, we argue, physicians may best serve both the patient and the family by having a carefully ambiguous discussion about end-of-life options and then providing resuscitation efforts that are less vigorous or prolonged than usual. (shrink)

Through discourse with international groups of physicians, we conducted a cross-cultural analysis of the types of ethical dilemmas physicians face. Qualitative analysis was used to categorise the dilemmas into seven themes, which we compared among the physicians by country of practice. These themes were a-theoretically-driven and grounded heavily within the text. We then subjected the dilemmas to an analysis of moral intensity, which represents an important theoretical perspective of ethical decision making. These constructs represent salient determinants of ethical behaviour and (...) our cross-cultural sample afforded us the opportunity to consider both the pragmatic aspects of culture, as they are perceived by physicians, as well as the theory-driven concept of moral intensity. By examining both culture and moral intensity, we hope to better elucidate the complexities of ethical decision-making determinants among physicians in their daily practice. Doing so may potentially have practical implications for ethics training of medical students and foreign physicians. (shrink)